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Quantum Computing Research Scientist

NexusLabs
Austin
Estimated Salary
USD 150.000 – USD 220.000
New
Live Update
1 Juli 2026
Deadline
1 Jul 2027

Job Description

Join NexusLabs at the forefront of technological innovation as we pioneer quantum computing solutions for 2026 and beyond. As a Quantum Computing Research Scientist, you'll develop breakthrough algorithms and protocols that will redefine computational boundaries. We're seeking a visionary mind to push the limits of quantum mechanics and solve humanity's most complex challenges. If you're passionate about shaping the future of technology, this is your opportunity to leave an indelible mark on the quantum revolution.

Responsibilities

  • Design and implement quantum algorithms for optimization, simulation, and cryptography applications
  • Conduct cutting-edge research on quantum error correction and fault-tolerant systems
  • Collaborate with cross-functional teams to integrate quantum solutions into real-world applications
  • Publish findings in peer-reviewed journals and present at industry conferences
  • Lead quantum software development initiatives using Qiskit, Cirq, and other quantum frameworks
  • Stay ahead of emerging quantum technologies and patent novel methodologies
  • Mentor junior researchers and foster a culture of quantum innovation

Qualifications

  • PhD in Quantum Physics, Computer Science, or related field with 3+ years of research experience
  • Expertise in quantum programming languages (Q#, Quil, or similar)
  • Deep understanding of quantum algorithms and quantum information theory
  • Proven track record of developing quantum error correction protocols
  • Experience with quantum hardware platforms (IBM Quantum, Rigetti, or IonQ)
  • Strong mathematical foundations in linear algebra, probability, and complex analysis
  • Excellent problem-solving skills and ability to communicate complex concepts clearly

Required Skills

Quantum Computing Quantum Algorithms Error Correction Qiskit Cirq Q# Quantum Hardware Cryptography Machine Learning High-Performance Computing

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